CIO Business Intelligence

NOVEMBER 14, 2022

Being locked into a data architecture that can’t evolve isn’t acceptable.” Aurora built a cloud testing environment on AWS to better understand the safety of its technology by seeing how it would react to scenarios too dangerous or rare to simulate in the real world.

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. Many companies are therefore forced to put these concepts to the test. But what are the right measures to make the data warehouse and BI fit for the future? What role do technology and IT infrastructure play?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5 AWS Glue released version 4.0

Testing 104

Testing Data Lake Cost-Benefit Data Integration 104

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. Test the connection with SAP using the wheel file. Create the PyRFC wheel file.

Testing 107

Testing Data Integration Data Lake Enterprise 107

AWS Big Data

JANUARY 30, 2025

Our approach The migration initiative consisted of two main parts: building the new architecture and migrating data pipelines from the existing tool to the new architecture. Often, we would work on both in parallel, testing one component of the architecture while developing another at the same time.

Data Warehouse 55

Data Warehouse Data Architecture Machine Learning Data Transformation 55

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Metadata 115

Metadata Dashboards Metrics Visualization 115

AWS Big Data

JUNE 10, 2024

Test access to the producer cataloged Amazon S3 data using EMR Serverless in the consumer account. Test access using Athena queries in the consumer account. Test access using SageMaker Studio in the consumer account. It is recommended to use test accounts. The catalog account will host Lake Formation and AWS Glue.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

AWS Big Data

NOVEMBER 13, 2023

As Gameskraft’s portfolio of gaming products increased, it led to an approximate five-times growth of dedicated data analytics and data science teams. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 110

Data Warehouse Analytics Data Lake Data Science 110

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 121

Data Lake Metadata Snapshot Recreation/Entertainment 121

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

JUNE 10, 2024

Many of the tests to check performance and volumes of data scanned have used Athena because it provides a simple to use, fully serverless, cost effective, interface without the need to setup infrastructure. This approach was deemed efficient and effectively mitigated Amazon S3 throttling problems.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

JULY 2, 2024

It also provides timely refreshes of data in your data warehouse. The following architecture diagram highlights the end-to-end solution using AWS services. For Name , enter a name (for example, dms-test ). Test the solution Run the task and wait for the workload to complete. Choose Create rule. Choose Create rule.

Data Warehouse 118

Data Warehouse Sales Testing Big Data 118

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Then complete the following steps to connect to Amazon Redshift: Log in to Satori.

Data Warehouse 114

Data Warehouse Interactive Data Architecture Data-driven 114

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse. Neeraja is a seasoned Product Management and GTM leader, bringing over 20 years of experience in product vision, strategy and leadership roles in data products and platforms.

Data Warehouse 130

Data Warehouse Analytics Data Lake Machine Learning 130

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Prerequisites include earning Salesforce Application Architect certification (see above).

B2B 87

B2B Consulting Sales Cost-Benefit 87

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. connection testing, metadata retrieval, and data preview.

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

AWS Big Data

FEBRUARY 9, 2023

Integrating third-party SaaS applications is often complicated and requires significant effort and development. Developers need to understand the application APIs, write implementation and test code, and maintain the code for future API changes. Amazon AppFlow , which is a low-code/no-code AWS service, addresses this challenge.

Data Warehouse 104

Data Warehouse Data-driven Snapshot Testing 104

erwin

SEPTEMBER 16, 2024

The gold standard in data modeling solutions for more than 30 years continues to evolve with its latest release, highlighted by: PostgreSQL 16.x Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Formalize ethics and bias testing.

Insurance 83

Insurance Risk Data-driven Finance 83

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. To try and test the platforms in accordance with data strategy and governance.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

IBM Big Data Hub

JUNE 21, 2022

A data fabric orchestrates various data sources across a hybrid and multicloud landscape to provide business-ready data in support of analytics, AI and other applications. How IBM built its own data fabric . When I rejoined IBM in 2016, enterprise-level data and its use was having a pivotal moment.

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

IBM Big Data Hub

JULY 7, 2023

Business analytics: Data and insights help knowledge workers make informed decisions and find new opportunities. While Big Data and artificial intelligence (AI) provide the numbers, knowledge workers are key to understanding them. The aim is to break down silos between departments with better data management and integration.

Cost-Benefit 64

Cost-Benefit Consulting Management Data-driven 64

Alation

JANUARY 25, 2022

Gartner is explicit: Data catalogs play a foundational role in the data fabric. And leaders are recognizing the value of a strong data foundation. Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business.

Metadata 52

Metadata IT Data-driven Metrics 52

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. In essence, the core capabilities of the best BI tools revolve around four essential functions: data integration, data transformation, data visualization, and reporting.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

AUGUST 7, 2024

The Project Kernel framework utilizes templates and AI augmentation to streamline coding processes, with the AI augmentation generating test cases using training models built on the organization’s data, use cases, and past test cases. This enabled the team to expose the technology to a small group of senior leaders to test.

IT 119

IT Insurance Cost-Benefit Testing 119

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Build your first set of reports.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

DECEMBER 2, 2024

More companies have realized there is an opportunity to integrate, enhance, and present this SaaS data to improve internal operations and gain valuable insights on their data. From there, they can perform meaningful analytics, gain valuable insights, and optionally push enriched data back to external SaaS platforms.

Data Lake 104

Data Lake Testing Data Integration Metadata 104

CIO Business Intelligence

APRIL 15, 2025

In the digital world, data integrity faces similar threats, from unauthorized access to manipulation and corruption, requiring strict governance and validation mechanisms to ensure reliability and trust. Moreover, the very nature of supply and demand forced manufacturers to rethink how they produced and delivered goods.

Strategy 109

Strategy Data-driven Manufacturing Risk 109

AWS Big Data

JANUARY 13, 2025

We cover batch ingestion methods, share practical examples, and discuss best practices to help you build optimized and scalable data pipelines on AWS. Overview of solution AWS Glue is a serverless data integration service that simplifies data preparation and integration tasks for analytics, machine learning, and application development.

Visualization 98

Visualization Interactive Data-driven Data Processing 98

AWS Big Data

MAY 9, 2025

This seamless integration particularly benefits existing AWS customers who already use the Data Catalog and Lake Formation, because they can immediately take advantage of SageMaker Lakehouse capabilities. AWS Glue is a serverless service that makes data integration simpler, faster, and cheaper. We launched AWS Glue 5.0

Data Lake 62

Data Lake Data Warehouse Marketing Management 62

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130